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1、1网站访问数据分析在互联网产品中的应用网站访问数据分析在互联网产品中的应用摘要网站访问行为分析，是指在获得网站访问量基本数据的情况下，对有关数据进行统计、分析，从中发现用户访问网站的规律，并将这些规律与网络营销策略等相结合，从而发现目前网络营销活动中可能存在的问题，并为进一步修正或重新制定网络营销策略提供依据。在电子商务网站运营过程中，运营者会通过用户的这些访问行为，包括用户点击，评论，收藏，登陆注册，访问路径等进行用户的行为分析，以此来了解用户行为，为网站用户体验优化提供支持，或者对用户交易行为包括购买需求、购买时间、商品数量和价格，支付手段等数据，基于这些运营数据对他们的网站分析交易来估算
2、每个客户的价值，针对价值的大小制定不同的客户营销策略。电子商务相对于传统零售业来说，最大的特点就是一切都可以通过数据化来监控和改进。通过数据可以看到用户从哪里来、如何组织产品可以实现很好的转化率和投放广告的效率。基于数据分析的每一点点改变，就是一点点提升盈利的能力，所以，电子商务网站的数据分析在当下显得尤为重要。而数据本身是客观的，但被解读出来的数据一定是主观的。我们能通过各项数据展示网站运营情况，调整网站的运营策略；能通过用户操作的习惯，进行分析优化产品功能；也能通过关联分析，拓展产品，挖掘产品价值（最大化的释放用户欲望或需求）即运营推广、用户体验、个性化挖掘等。我们对用户行为监测获得的数据
3、进行正确的分析，可以让企业更加详细、清楚地了解用户的行为习惯，从而找出网站、推广渠道等企业营销环境存在的问题，有助于企业发掘高转化率页面，让企业的营销更加精准、有效，提高业务转化率，从而提升企业的广告收益。关键词关键词: 用户行为，数据分析，电子商务，用户体验2AbstractUser behavior analysis is refers to in a website to visit a quantity of basic data and the data statistics and analysis, from found the user visits the site rule
4、s and the combination of these rules and the network marketing strategy, so as to find out the network marketing activities in some problems, and further amended or re enacted network marketing strategy provides the basis. In the electronic commerce website operation process, the operator will throu
5、gh the user access behavior, including the user clicks, reviews, collection, registration of the landing, access paths and so on were user behavior analysis, in order to understand user behavior, for the website user experience optimization provide support, or to user transactions including the purc
6、hase demand, time to buy, the price and quantity of the commodity, means of payment, such as data, based on these operational data on their website transaction analysis to estimate the value of each customer, develop different marketing strategies according to the size of the value.Electronic commer
7、ce, compared to the traditional retail industry, the biggest feature is that everything can be monitored and improved through the data. Through the data can be seen where users come from, how to organize the product can achieve a very good conversion rate and the efficiency of advertising. Based on
8、the data analysis of every little change, is a little bit to enhance profitability, so the data analysis of e-commerce sites is particularly important in the moment. While the data itself is objective, but the data is interpreted to be subjective. We can show the site operations through the data, ad
9、just the site operation strategy; can through the operation of the user habits, analysis and optimization of the product function; can also through the association analysis, expand the product, product value (maximum frees the user desires or needs) namely operation promotion, user experience, perso
10、nalized mining. We obtain the monitoring of user behavior data analysis is correct can allow enterprises to more detailed and clearly understand the users behavior, so as to find out the website, marketing channels, marketing environment, help to enterprises to explore high conversion rate of the pa
11、ge, make more accurate, effective, improve the conversion rate of business enterprise marketing, so as to enhance the enterprises advertising revenue.Key Words：User behavior, data analysis, e-commerce, user experience3目录目录摘 要.IAbstract.II1 1 绪论绪论 .11.1 选题背景 .11.2 研究意义 .11.3 研究内容.21.4 研究方法.21.5 论文章节结
12、构 .22 2 用户访问数据分析的主要指标（用户访问数据分析的主要指标（WEBWEB 端）端）.42.1 页面访问主要指标.42.2 用户属性主要指标.72.3 本章小结 .83 3 用户访问数据分析工具概述与分析方法用户访问数据分析工具概述与分析方法 .103.1 主流数据分析工具概述一(WEB 端) .103.1.1 百度统计 .103.1.2 Google Analytics.113.1.3 量子统计 .113.1.4 聚合分析 .113.1.5 CNZZ.113.1.5 WebTrends.113.2 主流数据分析工具概述二(APP 端) .123.2.1 TalkingData.123.2.1 CNZZ 移动统计工具 .123.2.1 友盟移动平台统计分析工具.123.3 访问数据分析主要方法.123.3.1 统计分析
